Director, Data Engineering Finance at OpenAI

San Francisco, California, United States

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$405,000 – $490,000Compensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Finance, Artificial IntelligenceIndustries

Requirements

12+ years in data engineering, with proven experience building and managing enterprise-scale, auditable ETL pipelines and complex datasets
Proficiency in SQL and Python, with demonstrated experience in schema design, data modeling, and orchestration frameworks
Expertise in distributed data processing technologies such as Apache Spark, Kafka, and cloud-native storage (e.g., S3, ADLS)
Deep knowledge of enterprise data architecture, especially within Finance and Supply Chain
Familiarity with financial processes (close, allocations, revenue recognition) and supply chain data models (Supply and demand planning, procurement, vendor master), along with experience in ingesting data from internal engineering systems with large volumes of B2C
Experience integrating with contract manufacturers and external logistics providers is a strong plus
Strong track record of partnering with senior business stakeholders and translating complex requirements into scalable technical solutions

Responsibilities

Build and maintain scalable, auditable data infrastructure that powers accurate financial information, with a focus on revenue recognition, compute attribution, and close automation
Lead and grow teams of analytics engineers, data engineers, and AI engineers to deliver high-impact, intelligent data systems
Guide work across financial close and allocations automation, B2C revenue automation from engineering systems to ERP (including reconciliation with cash and source systems), and other mission-critical financial processes
Design and implement data pipelines connecting ERP, planning, and operational systems, including Oracle Fusion, Anaplan, and Workday
Build and support scalable, audit-proof architecture that enables reliable financial reporting and compliance
Develop data and AI-powered workflows that enhance forecasting accuracy, compliance automation, and operational efficiency
Create and maintain data marts and products that support stakeholders across Revenue, FP&A, Tax, Procurement, Hardware Accounting, and Controller teams
Define and enforce best practices for data modeling, lineage, observability, and reconciliation across finance data domains
Set the technical direction and manage team structure, mentoring engineers and overseeing contractors or system integrators to ensure delivery of high-quality outcomes
Partner with senior leaders across Finance, Engineering, and Infrastructure to align on priorities and integrate new automation capabilities
Ensure data systems are AI-ready and capable of supporting predictive analytics, autonomous agent workflows, and large-scale automation
Own and maintain Tier-1 data pipelines with strict SLA, data quality, and compliance standards
Drive the long-term roadmap for agentic AI enablement to build the foundation for “Finance on OpenAI.”

Skills

Data Engineering

Agentic AI

Oracle Fusion

Anaplan

Workday

Data Pipelines

Analytics Engineering

AI Engineering

Revenue Recognition

Financial Reporting

Financial Close Automation

OpenAI

Develops safe and beneficial AI technologies

About OpenAI

OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$18,433.2MTotal Funding

LATE_VCCompany Stage

AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Health insurance

Dental and vision insurance

Flexible spending account for healthcare and dependent care

Mental healthcare service

Fertility treatment coverage

401(k) with generous matching

20-week paid parental leave

Life insurance (complimentary)

AD&D insurance (complimentary)

Short-term/long-term disability insurance (complimentary)

Optional buy-up life insurance

Flexible work hours and unlimited paid time off (we encourage 4+ weeks per year)

Annual learning & development stipend

Regular team happy hours and outings

Daily catered lunch and dinner

Travel to domestic conferences

Risks

Elon Musk's legal battle may pose financial and reputational challenges for OpenAI.

Customizable ChatGPT personas could lead to privacy and ethical concerns.

Competitors like Anthropic raising capital may intensify market competition.

Differentiation

OpenAI's capped profit model prioritizes ethical AI development over unlimited profit.

OpenAI's AI models, like Sora, offer unique video creation from text descriptions.

OpenAI's focus on AGI aims to create AI systems smarter than humans.

Upsides

OpenAI's $6.6 billion funding boosts its AI research and computational capacity.

Customizable ChatGPT personas enhance user engagement and satisfaction.

OpenAI's 'Operator' AI agent could revolutionize workforce automation by 2025.

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